2017-P: Gut Microbes after Bariatric Surgery in Humans Improve Glucose Control in Mice without Fat Loss
Bibliographic record
Abstract
Bariatric surgery (BS) is the most efficacious treatment against severe obesity and T2D. Among bariatric procedures, biliopancreatic diversion with duodenal switch (BPD-DS) can produce superior metabolic benefits compared with other surgical options. The mechanisms by which BPD-DS improve metabolic health are not well-understood, but there is evidence implicating the gut microbiota (GM) as contributor to changes in adiposity and consequently blood glucose control. We aimed to determine how the GM before and after BPD-DS alter host metabolism. Fecal samples from female patients subjected to BPD-DS were collected before (pre-surgery) and 12 months after surgery (post-surgery) and used to colonize female C57BL6NTac mice housed either in germ-free (GF) or SPF conditions. Oral glucose tolerance (OGT) was assessed in mice 3 and 7 weeks post-colonization. Three weeks after fecal microbiota transplantation (FMT), glucose tolerance was similar in GF mice receiving pre- and post-surgery fecal slurries. However, GF mice had lower glucose during OGT test 7 weeks after FMT derived from BPD-DS post-surgery compared to GF mice receiving pre-surgery fecal slurry. No changes in fat mass accretion were seen between pre- and post-surgery mice. SPF mice colonized with the fecal microbiota pre- and post-surgery showed no difference in glucose tolerance after 3 and 7 weeks of FMT. These data suggest that the GM after BPD-DS is an independent and transmissible contributor to improved host glucose control. Furthermore, while our data show that the mouse model (e.g., SPF vs. GF) dictates the glycemic response to FMT, exposure time (e.g., at least 7 weeks) is a key factor in microbe transmissible changes in glycemia. Disclosure F. Forato Anhê: None. K.P. Foley: None. N.G. Barra: None. B.M. Duggan: None. J.F. Cavallari: None. B.D. Henriksbo: None. P.D. Cani: Board Member; Self; A-Mansia Biotech. Consultant; Self; Biocodex, Pilèje, Valbiotis. Research Support; Self; Tate & Lyle. Stock/Shareholder; Self; A-Mansia Biotech, Enterosys. L. Biertho: None. A. Tchernof: Research Support; Self; Johnson & Johnson Medical Devices Companies, Medtronic, Pfizer Inc. A. Marette: Advisory Panel; Self; Plexus, Valbiotis. Consultant; Self; Danone Nutricia Research. J.D. Schertzer: None. Funding Canadian Institutes of Health Research; Diabetes Canada
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.047 | 0.018 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".